Applications Engineer, II
At Synopsys, we re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we re powering it all with the world s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.
If you are passionate towards crafting customer success and interested to build exciting career working in cutting edge technology with world s largest EDA company, then this roles meets your requirement.
You will get an opportunity to work on latest Synopsys implementation technologies (Machine Learning, Physical Synthesis, Multi-Source CTS etc. ) to solve complex PPA challenges faced by Synopsys customers.
Working on benchmarks to displace competition implementation solutions
Working on developing and debugging RTL-GDS implementation methodologies and flows.
Providing technical solutions by identifying the design and/or EDA tool issues and provide an appropriate solutions for customers
Effectively translate the findings into requirements for RD to improve both tool behavior with enhancements as adaptive long-term solutions.
Involved in deployment of new technologies on latest EDA versions and enable customers to migrate to newer versions achieving best PPA
Coming up with a proactive understanding of customers pain point and coming up with innovative solutions to address the same.
Closely interacting with Synopsys RD team and product development team to develop future technologies
This role requires you to act as customers advocate while talking to inhouse RD, and be a product brand ambassador while engaging with customers.
The candidate must have good exposure to methodology changes to achieve targeted PPA metrics for complex designs.
At least 2 years of experience in Physical Implementation RTL-GDS. Experience in autonomously debugging and resolving synthesis PnR implementation challenges.
Proficiency in Synopsys implementation tools is an advantage
The individual must be self-motivated and dedicated with strong debugging skills.
Requires proficiency in scripting (TCL / UNIX / PERL).
Excellent communication skills including the ability to interface with customers and business unit personnel are essential.
Keyskills: rtl machine learning scripting chip design unix debugging perl artificial intelligence engineer ii